Methods and systems for dynamic visualization of highly dimensional data are provided. Example embodiments provide a Dynamic Visualization System (a "DVS"), which maps data attributes to visualization dimensions and automatically imputes attribute values on-the-fly for each value of a sequencing dimension. Data having different resolutions can be simultaneously displayed in the same visualization. In one embodiment, the DVS comprises a Dynamic Data Management System with a user interface for specifying and mapping attributes, and one or more Dynamic Visualization Engines with near real-time control user interfaces. These components cooperate to define visualization scenarios based upon specified data subsets, determine and automatically execute a defined visualization, and allow analysts and other users to interactively modify the visualization.
In providing visualization of entries of a database for browsing meta data types may be provided, and meta data of each type may be associated with each database entry. The meta data types may describe different properties of the respective database entries. Three meta data types may be selected and mapped to a different one of three axes spanning a three dimensional space. Database entries may be displayed in the three dimensional space at coordinates given by the respective meta data of the three selected meta data types, thereby grouping related database entries generally in proximity to each other and unrelated database entries generally spaced apart.
